A method for detecting of moving target based on Curve-Flow field

Author

Wei, Zhenhua ; Zhu, Hailong ; Wang, Peidong

Author_Institution

Dept. of Comput. Sci. & Technol., North China Electr. Power Univ., Beijing

fYear

2008

fDate

1-3 Sept. 2008

Firstpage

2334

Lastpage

2336

Abstract

According to the nature scenes, a method for detecting and tracking of moving target based on Curve-Flows is proposed, which selects threshold automatically, extracts targetpsilas textures and calculates their curve-flows. It can locate static objects; estimate the movement information of those moving objects by analyzing the curve-flows fields. The method can distinguish a target that similar highly to others through using Vague Set as an accessorial method, and then it enables us to track the correct target.

Keywords

curve fitting; feature extraction; image segmentation; image sequences; image texture; object detection; set theory; target tracking; curve-flow field; image thresholding; moving target detection; moving target tracking; nature scene; optical flow; static object location; target texture extraction; vague set; Artificial neural networks; Automation; Cameras; Computer science; Equations; Image motion analysis; Image sequences; Nonlinear optics; Object detection; Target tracking; Vague Sex; curve-flow; moving target; object detecting;

fLanguage

English

Publisher

ieee

Conference_Titel

Automation and Logistics, 2008. ICAL 2008. IEEE International Conference on

Conference_Location

Qingdao

Print_ISBN

978-1-4244-2502-0

Electronic_ISBN

978-1-4244-2503-7

Type

conf

DOI

10.1109/ICAL.2008.4636557

Filename

4636557